Zest Launches AI-Powered Restaurant App Using Transaction Data
Zest, a new restaurant discovery app, has launched publicly after securing $1.8 million in pre-seed funding. It uses AI and linked credit card transaction data to provide personalized dining recommendations based on where users actually eat. The app, founded in November 2024, aims to reinvent discovery by leveraging real-world spending habits.
Key points
- Zest, a startup founded in November 2024, has launched its restaurant discovery app to the public.
- The app utilizes AI and transaction data linked from users' credit cards to generate personalized recommendations.
- Zest has attracted over 100,000 visits post-launch and secured $1.8 million in pre-seed funding from investors like 776 and Kindred Ventures.
- Users can track their dining habits, follow friends or creators, and receive suggestions based on real-world spending.
A new mobile application named Zest has officially launched, offering a unique approach to restaurant discovery. Founded in November 2024, the startup has successfully raised $1.8 million in pre-seed funding from prominent investors including Alexis Ohanian's 776 and Steve Jang's Kindred Ventures.
Zest differentiates itself by employing artificial intelligence and analyzing transaction data obtained by linking users' credit cards. This method aims to provide highly personalized recommendations by understanding where individuals genuinely dine, drink, or visit for coffee. The app constructs a "dining map" based on users' actual spending history, offering suggestions that reflect real-world preferences rather than curated lists or wishlists.
Since its public debut, Zest has reported attracting over 100,000 visits and is experiencing growth. The platform also allows users to follow friends or curated profiles for additional dining suggestions, whether exploring local options or traveling to new cities. The company's goal is to move beyond traditional discovery methods by grounding recommendations in tangible consumer behavior.
Sources
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